Instructions to use clicknext/phayathaibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clicknext/phayathaibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="clicknext/phayathaibert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("clicknext/phayathaibert") model = AutoModelForMaskedLM.from_pretrained("clicknext/phayathaibert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by panyutsriwirote - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7c4293efda8bb5941ac441411ad89f6064cd9e7e4602d874c77e498ef8c2752
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size 1110926888
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